Director AI at Weekday in Bengaluru

  • Company: Weekday
  • Location: Bengaluru, Karnataka, India
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-30

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Job description

This role is for one of Weekday’s clients Salary range: Rs 6800000 - Rs 10000000 (ie INR 68 - 100 LPA) Min Experience: 12+ years Location: Bangalore JobType: full-time We are seeking a strategic and hands-on Director – AI to lead the development and execution of the organisation's AI product strategy. The ideal candidate will be responsible for transforming high-value business challenges into secure, scalable, and commercially impactful AI products, taking them from initial discovery and prioritisation through development, launch, adoption, and continuous improvement. This is a high-impact leadership role at the intersection of AI, Product Management, Technology, and Business. You will define the organisation-wide AI vision and build a focused product portfolio that moves AI beyond isolated experiments into repeatable, reliable, and measurable business outcomes. The portfolio may span Generative AI, Predictive Machine Learning, Intelligent Automation, and AI-powered customer experiences across areas such as fraud detection, risk management, customer support, personalised payment experiences, and operational efficiency. Requirements Key Responsibilities Define the AI product vision, strategy, and roadmap in collaboration with business and technology leadership. Build and prioritise an AI product portfolio based on customer needs, business value, technical feasibility, risk, and speed of execution. Own the complete product lifecycle, including problem discovery, use-case definition, experimentation, prioritisation, development, launch, adoption, and optimisation. Partner with AI/ML engineers, data scientists, designers, platform teams, and business stakeholders to deliver reliable AI products at scale. Evaluate and integrate external AI platforms and LLM solutions where they offer strategic and business advantages, ensuring security, privacy, cost, and performance considerations. Establish modern AI product practices covering model evaluation, human-in-the-loop workflows, feedback mechanisms, observability, and continuous improvement. Translate AI capabilities into measurable business outcomes, including revenue growth, monetisation, cost optimisation, productivity, risk reduction, and improved customer experience. Establish governance frameworks for Responsible AI, regulatory compliance, data privacy, security, explainability, risk management, and auditability. Build and strengthen AI Product Management capabilities through talent development, operating frameworks, decision-making processes, documentation, and best practices. Lead, mentor, and develop high-performing teams while influencing senior stakeholders across the organisation. Key Success Metrics Establish a focused AI roadmap aligned with strategic business priorities and customer outcomes. Successfully launch and scale AI products with measurable improvements in value, quality, safety, reliability, and user experience. Drive tangible business impact through improved productivity, operational efficiency, customer engagement, revenue, cost optimisation, and risk management. Implement robust AI evaluation and governance frameworks that enable responsible experimentation and deployment. Develop a repeatable AI product operating model and build a capable team that can take AI initiatives from discovery to measurable impact. Must-Have Skills and Qualifications 12–18 years of overall experience, with 12–14 years specifically in Product Management. At least 3 years of experience building or scaling AI-driven products. Proven track record of launching B2C or B2B AI/ML-powered products at scale and driving sustained adoption beyond pilot stages. Strong understanding of Generative AI and its product applications, including LLMs, transformers, embeddings, and modern AI application architectures. Ability to translate technical AI capabilities into customer-focused solutions, commercial value, and actionable product strategies. Experience leading high-performing product teams and c

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